AI in Turbulent Times Navigating Changing Conditions hero banner

AI in Turbulent Times: Navigating Changing Conditions

In turbulent times like these when COVID-19 has upended every aspect of daily life, adaptability is key in order for businesses to survive. For data scientists and data science teams, however, the answers on how to adapt are not straightforward or clear, and the questions are piling up. What practices can we rely on when the situation is unprecedented? Where do we turn for guidance on AI modeling when the historical data may not apply?

We’ve gathered together the best practical advice on how to navigate the path forward in our ebook, AI in Turbulent Times: Navigating Changing Conditions. We address the specific challenges that data scientists are dealing with and what guidelines you can rely on, such as:

We will cover:

  • Where do you start? Which use cases are sensitive to extreme events?
  • How do you incorporate extreme events into the model building process?
  • When should you refresh models to capture system change?
  • What are some good COVID-19 proxies that you might be able to use?

Download our ebook to start putting together your plan of action that will help your business move forward during these difficult times.

DataRobot is an indispensable partner helping us maintain our reputation both internally and externally by deploying, monitoring, and governing generative AI responsibly and effectively.
Tom Thomas
Tom Thomas

VP of Data Strategy, Business Intelligence, & Analytics, FordDirect

The generative AI space is changing so fast but the flexibility, speed, and interoperability of DataRobot is helping us stay on the cutting edge. And, DataRobot’s team of GenAI experts have been true partners on our journey, helping us navigate the real concerns to apply generative AI in meaningful and safe ways.
Rosalia Tungaraza
Rosalia Tungaraza

Ph.D, AVP, Artificial Intelligence, Baptist Health South Florida

DataRobot provides us with innovative ways to test new ideas. Given a problem and a dataset, DataRobot allows us to generate multiple prototypes 20% faster. And the process facilitates the learning evolution of our data scientists.
Diego J. Bodas
Diego J. Bodas

Director of Advanced Analytics, MAPFRE ESPAÑA

The value of having a single platform that pulls all the components together can’t be underestimated. Then there’s the combination of the technology and the collaborative DataRobot team. If either one of those wasn’t there, I would have looked elsewhere.
Craig Civil
Craig Civil

Director of Data Science & AI, BSI